Parameter Redundancy and the Existence of Maximum Likelihood Estimates
in Log-linear Models
Parameter Redundancy and the Existence of Maximum Likelihood Estimates
in Log-linear Models
Log-linear models are typically fitted to contingency table data to describe and identify the relationship between different categorical variables. However, the data may include observed zero cell entries. The presence of zero cell entries can have an adverse effect on the estimability of parameters, due to parameter redundancy. We describe …